Overview In Fever's AI & DevEx squad, you will shape production-grade AI-powered software that accelerates the entire Product Engineering org. You'll own end-to-end delivery across agent harness, knowledge base, and autonomous delivery rails, with strong emphasis on testing and observability. You'll partner with squads to ship impactful AI-enabled workflows at scale. This is a chance to influence how AI augments engineering and delivery across Fever.

Compensaciones / Beneficios base salary plus potential bonus stock options

40% discount on Fever events home office-friendly health insurance adaptable remuneration via Cobee

Responsabilidades Build and improve the agentic harness: skills, sub-agents, guardrails, tools, and verification for high-quality output

Develop a shared knowledge-base substrate that compounds across Fever

Own the delivery substrate and autonomous rails: cloud environments, CI runtime, ephemeral environments, migration tooling

Shape AI usage across a squad's workflows, tooling, and coordination to reduce friction

Create evaluation and measurement infrastructure with baselines and metrics that matter

Optimize inference economics: model routing, prompt caching,



and cost-aware decision making

Drive real adoption by ensuring tools are used effectively by squads

Maintain engineering excellence: testing, patterns, CI/CD, observability

Ensure end-to-end production ownership and live-issue accountability

Requisitos principales 5+ years building and operating production software at meaningful scale

Strong software design fundamentals: testing, design patterns, clean architecture

Backend depth: RESTful APIs, relational databases, async/event-driven patterns

End-to-end production ownership: CI/CD, observability, infrastructure, live performance

Proficient in business English

1–2 years+ deep in LLM applications shipped to production with context engineering, RAG, multi-agent systems

Authored skills, sub-agents, evals, and verification harnesses in agents and can explain implementation

Ability to measure and conduct controlled experiments to prove improvements ownership collaboration across squads results-oriented

RESTful APIs

Relational databases and SQL

Distributed/async patterns (queues, messaging)

📌 AI Staff Engineer (La Mancha)
🏢 Fever
📍 La Mancha